Audio Multiple Target Classification

Audio Multiple Target Classification refers to the task of simultaneously identifying multiple predefined categories within audio data, aiming to extract key information from complex audio environments through machine learning algorithms to achieve precise content understanding and annotation. This technology is widely applied in music classification, environmental sound monitoring, speech emotion analysis, and other fields, possessing significant application value and a broad development prospect.